Description: Swarm Intelligence for Multi-objective Problems in Data Mining by Carlos Coello Coello, Satchidananda Dehuri, Susmita Ghosh Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining. Publisher Description Multi-objective optimization deals with the simultaneous optimization of two or more objectives which are normally in con?ict with each other. Since mul- objective optimization problems are relatively common in real-world appli- tions, this area has become a very popular research topic since the 1970s. However, the use of bio-inspired metaheuristics for solving multi-objective op- mization problems started in the mid-1980s and became popular until the mid- 1990s. Nevertheless, the e?ectiveness of multi-objective evolutionary algorithms has made them very popular in a variety of domains. Swarm intelligence refers to certain population-based metaheuristics that are inspired on the behavior of groups of entities (i.e., living beings) interacting locallywitheachotherandwiththeirenvironment.Suchinteractionsproducean emergentbehaviorthatismodelledinacomputerinordertosolveproblems.The two most popular metaheuristics within swarm intelligence are particle swarm optimization (which simulates a ?ock of birds seeking food) and ant colony optimization (which simulates the behavior of colonies of real ants that leave their nest looking for food).These two metaheuristics havebecome verypopular inthelastfewyears,andhavebeenwidelyusedinavarietyofoptimizationtasks, including some related to data mining and knowledge discovery in databases. However, such work has been mainly focused on single-objective optimization models. The use of multi-objective extensions of swarm intelligence techniques in data mining has been relatively scarce, in spite of their great potential, which constituted the main motivation to produce this book. Details ISBN 3642036244 ISBN-13 9783642036248 Title Swarm Intelligence for Multi-objective Problems in Data Mining Author Carlos Coello Coello, Satchidananda Dehuri, Susmita Ghosh Format Hardcover Year 2009 Pages 287 Edition 2010th Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG GE_Item_ID:158487591; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
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ISBN-13: 9783642036248
Book Title: Swarm Intelligence for Multi-objective Problems in Data Mining
Number of Pages: Xiv, 287 Pages
Language: English
Publication Name: Swarm Intelligence for Multi-Objective Problems in Data Mining
Publisher: Springer Berlin / Heidelberg
Subject: Engineering (General), Intelligence (Ai) & Semantics, Databases / Data Mining, Applied, Computer Vision & Pattern Recognition
Publication Year: 2009
Item Weight: 46.9 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Technology & Engineering
Item Length: 9.3 in
Author: Satchidananda Dehuri
Item Width: 6.1 in
Series: Studies in Computational Intelligence Ser.
Format: Hardcover